The task of replicating a human voice is ideally suited to machine-learning algorithms such as Lyrebird, given the incredible number of specific but uniform measurements and calculations required.
The inspiration for the algorithm came from the company’s namesake in the natural world, which has been the subject of many viral videos over the past few years.
While similar programs have been developed in the past, examples such as Project VoCo have required audio samples of up to 20 minutes to produce an accurate copy of a given voice.
The music industry has long toyed with programs such as Melodyne, which can analyze the intricacies of a particular singer’s voice and then apply them to any given audio sample, but never anything close to the capabilities of Lyrebird, which is as close to real-time audio cloning as anyone has come, so far.
“This could potentially have dangerous consequences such as misleading diplomats, fraud, and more …
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